Multi-platform Multi-target GMTI Tracking with Out-of-sequence Measurements

"We propose to develop advanced multi-sensor multi-target out-of-sequence measurement (OOSM) filtering and data association algorithms using a central tracking architecture, evaluate their performance, and implement the algorithms in ALPHATECH's extensivelytested and evaluated GMTI Precision Fire Control Tracking (PFCT) software for delivery to AFRL. Accurate, reliable, and efficient OOSM processing is critical for many real-time multi-platform tracking systems. We will advance our Phase I work by developingnew OOSM filtering and data association algorithms using kinematic and target classification measurements and demonstrating improvement in tracking and classification accuracy. We shall use an extensive collection of simulated and real GMTI data sets tocharacterize the performance of the tracker. We shall use the truth and simulated GMTI data sets for the Kosovo, Holloman, and Fort Stewart scenarios and the MPTE and AMSTE II real GMTI data sets for a comprehensive evaluation of the algorithms andsoftware. Advancements to our existing OOSM algorithms include multiple-model multiple-lag filtering algorithms, accurate likelihood computation, and joint tracking and classification using OOSMs. Since the OOSM algorithms are general nature, we propose toimplement new measurement models for acoustic, seismic, and imaging sensors in the tracking architecture to provide continuous and extended situation awareness of the battlefield."